Researchers have developed a multitask deep learning model that can effectively assess signs of hip osteoarthritis in x-rays, sharing their findings in Radiology.

The rise of AI in healthcare—especially radiology—has launched countless conversations about ethics, bias and the difference between “right” and “wrong.”

Radiology researchers are turning to deep learning (DL) technology to make NLP even more effective—and it’s a growing trend that shows no signs of slowing down.  

Another AI provider has donated key resources to help healthcare workers currently combating the deadly coronavirus outbreak.

AI can help improve malaria screening in low-resource settings, according to a new study published in the Journal of Digital Imaging. The model developed by researchers is as precise as human experts—and “several orders of magnitude” faster.

Radiology researchers have been spent countless hours seeking a dose-reduction technique that provides high-quality images while still limiting the patient’s exposure to ionizing radiation as much as possible.

Microsoft has announced a new $40 million, five-year program designed to help nonprofit organizations and academic researchers develop AI-based healthcare solutions.

Stroke care is one of the fields where AI research has made its biggest impact in recent years, and a new study published in Radiology focused on yet another way this evolving technology can make a difference.